By J.F. Matos, S.K. Houston, Werner Blum, S.P. Carreira, Edited by João Filipe Matos, Ken Houston, Susana Paula Carrelra
The articles incorporated during this booklet are from the ICTMA nine convention held in Lisbon, attended via delegates from approximately 30 international locations. This paintings files the 1999 Lisbon convention of ICTMA. It includes the chosen and edited content material of the convention and makes an important contribution to mathematical modelling that's the numerous investigative initial to all clinical and technological purposes from equipment to satellites and docking of space-ships.
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Extra info for Modelling and Mathematics Education: ICTMA 9: Applications in Science and Technology
Although the Theory has been around for as long as ICTMA, I must confess to not having encountered it until very recently when I became involved with the work of a progressive school in Northern Ireland who were developing teaching methods and curricula which embodied the Theory. I had never heard it mentioned at ICTMA conferences or seen it in the literature relating to the teaching of mathematical modelling. When I read Gardner’s books, I was struck by the very close parallels between his Theory of Multiple Intelligences and the rationale and theories which the modelling community has developed to support its own work.
They wondered what the possible link might be and they came up with an ingenious metaphor to explain it: "the mountain is the utility". In exploring the structure of the metaphor we can exhibit the following parallelisms: 0 0 0 0 0 0 In a mountain there are several height levels. Consumers experience different levels of satisfaction. The mountain rises. The utility increases (rises) with consumption. To walk on a level curve of a mountain is to be always at a certain height in spite of the change of other geographic co-ordinates.
So too, as we shall see presently, do the two personal intelligences. Lingistic intelligence would need to be developing in the use of scientific language. Spatial intelligence would be helping to visualise the phenomenon and measure its characteristics. Bodily-kinesthetic intelligence is necessary to manipulate the measuring and observing devices. Logical-mathematical intelligence is beginning to assemble a physical model or explanation of the phenomenon. Modelling then involves simplifying, making assumptions, identifying features and deciding which are important.
Modelling and Mathematics Education: ICTMA 9: Applications in Science and Technology by J.F. Matos, S.K. Houston, Werner Blum, S.P. Carreira, Edited by João Filipe Matos, Ken Houston, Susana Paula Carrelra